Research Article
Multi-Criteria Business Intelligence Approach
@INPROCEEDINGS{10.1007/978-3-642-32573-1_4, author={Torky Sultan and Ayman Khedr and Mohamed Ali}, title={Multi-Criteria Business Intelligence Approach}, proceedings={Signal Processing and Information Technology. First International Joint Conference, SPIT 2011 and IPC 2011, Amsterdam, The Netherlands, December 1-2, 2011, Revised Selected Papers}, proceedings_a={SPIT \& IPC}, year={2012}, month={10}, keywords={Multi-Criteria Business Intelligence (MCBI) Business Intelligence Applications (BIA) Multi-Criteria Decision making (MCDM) Business Intelligence Decision Support System (BIDSS) Decision Support System (DSS) Data Warehouse (DW) Spider Data Warehouse (SDW) Analytic Hierarchy Process (AHP)}, doi={10.1007/978-3-642-32573-1_4} }- Torky Sultan
Ayman Khedr
Mohamed Ali
Year: 2012
Multi-Criteria Business Intelligence Approach
SPIT & IPC
Springer
DOI: 10.1007/978-3-642-32573-1_4
Abstract
Multi Criteria Business Intelligence approach (MCBI) aims to enhancement Business Intelligence Applications (BIA) by applying Multi-Criteria Decision Making (MCDM). MCBI approach contributes to improve Business Intelligence Decision Support System (BIDSS) for BIA. Also MCBI approach presents a standard method to evaluate and select business decisions. The recommended business decision is the suitable and optimal choice to implement. The proposed model for MCBI approach that consists of five major components. The first component is business objectives, problem definition and main goals. The second component is a business heterogeneous data treatment which gathering from different resources and related with different areas. The third component is a unified business intelligence databases. The fourth component is a business intelligence processing. The fifth component is a evaluating the business decisions to select the suitable and optimal solution.